A method for performing wireless communication by a first device and an apparatus supporting same are provided. The method may comprise the steps of: measuring a congestion ratio for a resource associated with sidelink (SL); determining the priority of a service on the basis of the quality of service (QoS) of the service and a state of the first device; and determining a transmission parameter on the basis of the congestion ratio and the priority of the service.
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2. The method of claim 1, wherein the state of the first device is related to at least one of an operation control authority or a transmission control authority for a neighbor device of the first device.
This invention relates to a method for managing operational or transmission control authority in a networked system, particularly where devices interact with neighboring devices. The method involves determining the state of a first device, where this state is linked to either the operational control authority or the transmission control authority of a neighboring device. Operational control authority refers to the ability to manage or direct the functioning of the neighboring device, while transmission control authority refers to the ability to manage or direct data transmission activities of the neighboring device. The method ensures that the state of the first device influences how control is delegated or enforced between devices, improving coordination and efficiency in networked systems. This approach is useful in scenarios where devices must dynamically adjust their roles or responsibilities based on their operational states, such as in distributed computing, IoT networks, or autonomous systems. The method may involve monitoring the first device's state, such as its operational status, connectivity, or performance metrics, and using this information to modify control authority settings for the neighboring device. This ensures that control is dynamically allocated based on real-time conditions, enhancing system reliability and responsiveness.
3. The method of claim 1, wherein the leader of the group has at least one of an operation control authority or a transmission control authority for a neighbor device.
This invention relates to group-based communication systems where a leader device manages operations or transmissions for neighboring devices. The technology addresses challenges in coordinating multiple devices in a network, such as ensuring efficient data exchange, managing resource allocation, and maintaining synchronization. The leader device is assigned control authority, which can include operation control (e.g., managing tasks or functions of neighbor devices) or transmission control (e.g., regulating data transmission between devices). This hierarchical structure improves coordination, reduces conflicts, and enhances overall system performance. The leader may dynamically adjust control based on network conditions or device capabilities, ensuring adaptability. The system is applicable in wireless networks, IoT environments, or distributed computing systems where centralized or semi-centralized management is beneficial. The invention focuses on optimizing group interactions by leveraging the leader's authority to streamline operations and transmissions, addressing inefficiencies in decentralized or uncoordinated networks.
4. The method of claim 1, wherein a SL transmission is performed based on the transmission parameter.
A method for wireless communication involves transmitting data using a single-layer (SL) transmission scheme, where the transmission is controlled by a transmission parameter. The transmission parameter determines how the SL transmission is performed, such as modulation, coding, power allocation, or resource allocation. The method ensures efficient and reliable data transmission by dynamically adjusting the transmission parameter based on channel conditions, interference levels, or other network factors. This approach optimizes performance in wireless networks, particularly in scenarios where multiple devices share limited resources. The SL transmission may be part of a broader communication protocol, where data is encoded, modulated, and transmitted over a wireless channel. The transmission parameter may be derived from feedback signals, network measurements, or predefined rules to adapt to varying conditions. By dynamically adjusting the transmission parameter, the method improves spectral efficiency, reduces interference, and enhances overall system throughput. The technique is applicable in various wireless systems, including cellular networks, Wi-Fi, and IoT devices, where efficient resource utilization is critical. The method ensures robust communication by adapting the SL transmission to changing environmental and network conditions.
5. The method of claim 1, wherein the transmission parameter includes at least one of a maximum transmission power, a number of retransmissions, a number of resource blocks, a modulation and coding scheme (MCS), or a maximum limit on a channel occupancy ratio.
This invention relates to wireless communication systems, specifically methods for optimizing transmission parameters to improve efficiency and reliability in data transmission. The problem addressed is the need to dynamically adjust transmission parameters to adapt to varying channel conditions, interference levels, and network constraints, thereby enhancing overall communication performance. The method involves determining a transmission parameter for a communication device based on one or more criteria, such as channel quality, interference levels, or network policies. The transmission parameter may include a maximum transmission power, the number of retransmissions allowed, the number of resource blocks allocated, the modulation and coding scheme (MCS), or a maximum limit on the channel occupancy ratio. These parameters are selected to optimize data transmission while adhering to regulatory or operational constraints. By dynamically adjusting these parameters, the method ensures efficient use of available resources, reduces interference, and improves reliability in wireless communications. The approach is particularly useful in scenarios where channel conditions fluctuate, such as in mobile networks or dense deployment environments. The invention provides a flexible framework for adapting transmission strategies to different scenarios, enhancing both throughput and energy efficiency.
6. The method of claim 1, wherein the congestion level is a channel busy ratio (CBR).
This invention relates to wireless communication systems, specifically to methods for managing network congestion by monitoring and adjusting transmission parameters based on channel conditions. The problem addressed is inefficient use of network resources due to inadequate congestion detection, leading to packet collisions, delays, and reduced throughput. The method involves determining a congestion level in a wireless network by calculating a channel busy ratio (CBR), which measures the proportion of time the communication channel is occupied by transmissions. The CBR is derived by analyzing signal activity over a defined time interval, comparing it to idle periods. This metric helps assess network load and identify congestion before performance degradation occurs. The method further includes dynamically adjusting transmission parameters, such as data rates, retransmission intervals, or access probabilities, based on the CBR. For example, if the CBR exceeds a predefined threshold, the system may reduce transmission rates or increase backoff times to alleviate congestion. Conversely, if the CBR is low, the system may increase transmission rates to optimize throughput. The invention also incorporates feedback mechanisms to refine congestion detection and parameter adjustments over time. Historical CBR data may be used to predict congestion patterns and preemptively adjust settings, improving overall network efficiency. The approach is applicable to various wireless standards, including Wi-Fi, IoT, and cellular networks, where dynamic congestion management is critical for reliable communication.
7. The method of claim 1, wherein the congestion level is greater than a pre-configured threshold.
This invention relates to network congestion management, specifically a method for detecting and responding to network congestion levels exceeding a pre-configured threshold. The method involves monitoring network traffic to determine a congestion level, which is then compared against a predefined threshold value. If the congestion level surpasses this threshold, the system triggers a congestion control mechanism to mitigate the issue. The congestion level may be derived from metrics such as packet loss, latency, or bandwidth utilization. The pre-configured threshold is set based on network performance requirements, ensuring that congestion is addressed before it significantly degrades service quality. The method may be applied in various network environments, including wired and wireless networks, to maintain optimal performance. By dynamically adjusting to congestion conditions, the system helps prevent network bottlenecks and ensures reliable data transmission. The invention is particularly useful in high-traffic scenarios where maintaining low latency and high throughput is critical.
9. The method of claim 8, wherein, based on the congestion level being greater than the pre-configured threshold and the detected SL transmission of the leader device, the priority of the service is determined to be lower than the priority related to the QoS of the service.
This invention relates to wireless communication systems, specifically to methods for managing service priority in congested network environments. The problem addressed is ensuring efficient resource allocation when network congestion occurs, particularly in scenarios involving sidelink (SL) transmissions between devices. Sidelink communications enable direct device-to-device communication without relying on a central network infrastructure, which can be critical for applications like vehicle-to-everything (V2X) or machine-type communications. The method involves monitoring network congestion levels and detecting sidelink transmissions from a leader device, which coordinates or initiates communication in a group. When congestion exceeds a pre-configured threshold, the system evaluates the quality of service (QoS) requirements of the service being transmitted. If the leader device is detected to be involved in an SL transmission, the priority of the service is adjusted to be lower than the priority associated with its QoS parameters. This adjustment helps mitigate congestion by deprioritizing certain transmissions, ensuring that critical services maintain their QoS while less urgent communications are temporarily delayed or allocated fewer resources. The method dynamically balances network load and service quality, particularly in scenarios where direct device communication is essential.
11. The method of claim 10, wherein the threshold of the channel congestion level is a threshold used by the first device to determine at least one available resource.
This invention relates to wireless communication systems, specifically methods for managing channel congestion in networks with multiple devices. The problem addressed is the efficient allocation of communication resources to avoid congestion and ensure reliable data transmission. The method involves a first device monitoring the congestion level of a communication channel. The device compares this congestion level against a predefined threshold to determine available resources. If the congestion level exceeds the threshold, the device adjusts its resource allocation strategy to mitigate congestion. The threshold is dynamically set based on factors such as network load, device capabilities, and quality of service requirements. The method ensures that communication resources are used optimally, reducing packet loss and latency while maintaining network efficiency. The first device may also coordinate with other devices in the network to share congestion data and adjust thresholds collaboratively. This distributed approach helps balance resource usage across the network, preventing localized congestion. The method is particularly useful in dense wireless environments where multiple devices compete for limited bandwidth. By dynamically adjusting thresholds, the system adapts to changing network conditions, improving overall performance and reliability.
12. The method of claim 10, wherein the length of the selection window related to the sensing operation of the first device is shorter than a length of a selection window related to a sensing operation of a member device in the group.
This invention relates to wireless communication systems, specifically improving sensing operations in networks with multiple devices. The problem addressed is optimizing the efficiency and accuracy of sensing operations, such as detecting signals or environmental conditions, in a network where multiple devices may be performing similar tasks. The solution involves adjusting the length of a selection window used during sensing operations to reduce interference and improve performance. The method involves a first device and a group of member devices, each performing sensing operations. The selection window for the first device is shorter than the selection window used by the member devices. This shorter window allows the first device to complete its sensing operation more quickly, reducing the likelihood of overlapping sensing activities that could cause interference or data collisions. The method may also include synchronizing the sensing operations of the member devices to further minimize conflicts. By dynamically adjusting the selection window length, the system ensures that sensing operations are completed efficiently while maintaining accuracy. This approach is particularly useful in dense networks where multiple devices may be competing for sensing resources. The invention enhances overall network performance by reducing contention and improving the reliability of sensed data.
13. The method of claim 10, wherein the threshold of the channel congestion level is greater than a threshold of a channel congestion level of a member device in the group.
A method for managing communication in a networked group of devices involves monitoring and adjusting communication parameters based on channel congestion levels. The method addresses the problem of inefficient or unreliable data transmission in crowded network environments, where multiple devices compete for limited bandwidth. By dynamically assessing congestion levels, the system optimizes communication to prevent bottlenecks and ensure timely data delivery. The method includes determining a congestion level for a communication channel used by a group of devices. If the congestion level exceeds a predefined threshold, the system adjusts communication parameters, such as transmission rates or scheduling, to mitigate congestion. The threshold for the channel congestion level is set higher than the threshold used by individual member devices in the group. This ensures that the group-level adjustments are more conservative, preventing premature or excessive modifications that could disrupt communication efficiency. The method may also involve prioritizing certain transmissions or devices within the group to further optimize performance. By dynamically adapting to congestion conditions, the system improves reliability and reduces latency in networked environments where multiple devices share communication resources. This approach is particularly useful in scenarios like IoT networks, wireless sensor arrays, or multi-device synchronization systems where efficient bandwidth utilization is critical.
14. The method of claim 10, wherein the length of the sensing window related to the sensing operation of the first device is longer than a length of a sensing window related to a sensing operation of a member device in the group.
This invention relates to wireless communication systems, specifically methods for optimizing sensing operations in networks with multiple devices. The problem addressed is inefficient use of resources during sensing operations, where devices in a network may unnecessarily overlap or conflict in their sensing activities, leading to reduced performance and increased power consumption. The invention describes a method where a first device in a network performs a sensing operation with a sensing window that is longer than the sensing windows used by other member devices in the group. The sensing window refers to the time period during which a device monitors its environment for signals, such as detecting other devices or measuring channel conditions. By extending the sensing window of the first device, the system can achieve more reliable and comprehensive sensing while reducing the need for frequent sensing operations by other devices. This approach helps avoid conflicts and improves overall network efficiency. The method involves coordinating the sensing operations of multiple devices, where the first device acts as a reference or primary sensor with an extended sensing window. The other member devices in the group use shorter sensing windows, allowing them to conserve power and reduce interference. The extended sensing window of the first device ensures that critical sensing tasks are performed thoroughly, while the shorter windows of the other devices minimize unnecessary sensing overhead. This technique is particularly useful in dense networks where efficient resource management is essential.
15. The method of claim 10, wherein the length of the sensing window related to the sensing operation of the first device is shorter than a length of a sensing window related to a sensing operation of a member device in the group.
This invention relates to wireless communication systems, specifically improving sensing operations in networks with multiple devices. The problem addressed is optimizing sensing efficiency in scenarios where devices must coordinate their sensing activities to avoid interference and improve resource utilization. The invention involves adjusting the sensing window length of a first device to be shorter than that of other member devices in a group, allowing for more frequent or flexible sensing operations without disrupting the broader network. The method includes performing a sensing operation by the first device within a shorter sensing window compared to the longer sensing windows used by other devices in the group. This adjustment enables the first device to sense more frequently or adapt more quickly to changing conditions, while the longer sensing windows of the other devices ensure stable and reliable sensing for the group as a whole. The technique may be used in various wireless communication protocols, such as those involving device-to-device communication, network coordination, or spectrum sensing. By dynamically managing sensing window lengths, the invention improves overall network performance, reduces interference, and enhances resource allocation efficiency.
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February 17, 2020
May 7, 2024
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